2017
DOI: 10.1093/epolic/eix014
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Framing and retirement age: The gap between willingness-to-accept and willingness-to-pay

Abstract: In a large online experiment, we relate the retirement timing decision to the disparity between the willingness-to-accept (WTA) and the willingness-to-pay (WTP). In the WTP treatment, participants indicate the maximum amount of monthly benefits they are willing to give up in order to retire early. In the WTA treatment, the minimum increase of monthly payments in order to delay retirement is elicited. Our results reveal that the framing of the decision problem strongly influences participants' reservation price… Show more

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Cited by 17 publications
(14 citation statements)
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“…By measuring individuals' time preferences and analyzing their effect on retirement timing, we contribute to a growing literature in behavioral economics on retirement savings and planning (Benartzi and Thaler, 2007). Framing and its impact on retirement timing is perhaps the phenomenon studied most extensively, with the common finding that the retirement decision is strongly affected by how information is presented (Fetherstonhaugh and Ross, 1999;Brown, Kapteyn and Mitchell, 2013;Shu, Payne and Sagara, 2014;Merkle, Schreiber and Weber, 2017). Non-standard time preferences, alongside affective forecasting and planning fallacy, fall into a category of issues in predicting future behavior and happiness (for an overview, see Knoll, 2011).…”
Section: Introductionmentioning
confidence: 99%
“…By measuring individuals' time preferences and analyzing their effect on retirement timing, we contribute to a growing literature in behavioral economics on retirement savings and planning (Benartzi and Thaler, 2007). Framing and its impact on retirement timing is perhaps the phenomenon studied most extensively, with the common finding that the retirement decision is strongly affected by how information is presented (Fetherstonhaugh and Ross, 1999;Brown, Kapteyn and Mitchell, 2013;Shu, Payne and Sagara, 2014;Merkle, Schreiber and Weber, 2017). Non-standard time preferences, alongside affective forecasting and planning fallacy, fall into a category of issues in predicting future behavior and happiness (for an overview, see Knoll, 2011).…”
Section: Introductionmentioning
confidence: 99%
“…A different strand of literature explores whether behavioral factors help explain low observed levels of annuitization. Several hypothetical choice experiments suggest that behavioral factors influence the demand for annuities, including studies showing that framing of the annuity choice affects the demand for annuities Wrobel, 2008, 2013;Beshears, Choi, Laibson, Madrian, and Zeldes, 2014;Brown, Kapteyn, and Mitchell, 2016;Merkle, Schreiber, and Weber, 2017;and Bockweg, Ponds, Steenbeek and Vonken, 2018). Similar findings emerge in incentivized laboratory settings (Agnew, Anderson, Gerlach, and Szykman, 2008; Gazzale and Walker, 2011).…”
Section: Introductionmentioning
confidence: 86%
“…A different strand of literature explores whether behavioral factors help explain low observed levels of annuitization. Several hypothetical choice experiments suggest that behavioral factors influence the demand for annuities, including studies showing that framing of the annuity choice affects the demand for annuities Wrobel, 2008, 2013;Beshears, Choi, Laibson, Madrian, and Zeldes, 2014;Brown, Kapteyn, and Mitchell, 2016;Merkle, Schreiber, and Weber, 2017;and Bockweg, Ponds, Steenbeek and Vonken, 2018). Similar findings emerge in incentivized laboratory settings (Agnew, Anderson, Gerlach, and Szykman, 2008; Gazzale and Walker, 2011).…”
Section: Introductionmentioning
confidence: 86%